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6c172c3ba4d39a07628d4d1900f4b14d6377303f
darknet/src
History
AlexeyAB a4b591e8c2 Fixed yolo_console_dll.cpp
2017-10-19 02:30:39 +03:00
..
activation_kernels.cu
adding new tiny-yolo
2016-09-07 22:27:56 -07:00
activation_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
activation_layer.h
idk
2016-01-18 15:40:14 -08:00
activations.c
checkpoint
2016-06-20 13:18:59 -07:00
activations.h
adding new tiny-yolo
2016-09-07 22:27:56 -07:00
art.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
avgpool_layer_kernels.cu
Fix for cuda 7.5
2015-11-15 19:51:26 -08:00
avgpool_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
avgpool_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
batchnorm_layer.c
:vegan: :charizard:
2016-11-24 22:56:23 -08:00
batchnorm_layer.h
stable
2016-05-11 10:45:50 -07:00
blas_kernels.cu
minor fix
2017-07-14 12:11:45 +03:00
blas.c
🔥 🔥 yolo v2 🔥 🔥
2016-11-17 12:18:24 -08:00
blas.h
🔥 🔥 yolo v2 🔥 🔥
2016-11-17 12:18:24 -08:00
box.c
CVPR Experiments
2015-11-03 19:23:42 -08:00
box.h
CVPR Experiments
2015-11-03 19:23:42 -08:00
captcha.c
better multigpu
2016-09-20 11:34:49 -07:00
cifar.c
cpu batch norm works
2016-11-18 21:51:36 -08:00
classifier.c
Fixed classifier for AlexNet and Resnet50
2017-09-15 20:31:48 +03:00
classifier.h
so much need to commit
2016-05-06 16:25:16 -07:00
coco.c
You can specify filename for output video by using -out_filename res.avi
2017-08-23 21:54:24 +03:00
col2im_kernels.cu
updates and things
2016-09-01 16:48:41 -07:00
col2im.c
updates and things
2016-09-01 16:48:41 -07:00
col2im.h
Detection is back, baby\!
2015-02-10 19:41:03 -08:00
compare.c
better multigpu
2016-09-20 11:34:49 -07:00
connected_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
connected_layer.h
adding new tiny-yolo
2016-09-07 22:27:56 -07:00
convolutional_kernels.cu
minor fix
2017-07-14 12:11:45 +03:00
convolutional_layer.c
cuDNN 6.0 supported. Also speed of console example improved.
2017-08-03 01:36:22 +03:00
convolutional_layer.h
ADAM
2016-10-26 08:35:44 -07:00
cost_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
cost_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
cpu_gemm.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
crnn_layer.c
ADAM
2016-10-26 08:35:44 -07:00
crnn_layer.h
stuff
2016-02-29 13:54:12 -08:00
crop_layer_kernels.cu
lots of stuff
2016-01-28 12:30:38 -08:00
crop_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
crop_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
cuda.c
hey
2016-11-15 22:53:58 -08:00
cuda.h
Fix: Can be compiled on MSVS 2013 (12.0.40629.00 update 5), but not on MSVS 2013 (12.0.21005.1)
2016-12-05 00:25:26 +03:00
darknet.c
cheating a little here
2016-11-26 21:21:04 -08:00
data.c
More usage rand_s()
2017-08-18 02:12:44 +03:00
data.h
Fix: Can be compiled on MSVS 2013 (12.0.40629.00 update 5), but not on MSVS 2013 (12.0.21005.1)
2016-12-05 00:25:26 +03:00
deconvolutional_kernels.cu
good chance I didn't break anything
2016-09-12 13:55:20 -07:00
deconvolutional_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
deconvolutional_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
demo.c
You can specify filename for output video by using -out_filename res.avi
2017-08-23 21:54:24 +03:00
demo.h
You can specify filename for output video by using -out_filename res.avi
2017-08-23 21:54:24 +03:00
detection_layer.c
tree stuff
2016-10-21 13:16:43 -07:00
detection_layer.h
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
detector.c
You can specify filename for output video by using -out_filename res.avi
2017-08-23 21:54:24 +03:00
dice.c
better multigpu
2016-09-20 11:34:49 -07:00
dropout_layer_kernels.cu
lots of stuff
2016-01-28 12:30:38 -08:00
dropout_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
dropout_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
gemm.c
Increased 2.3 times performance of Yolo on CPU by using OpenMP in both darknet_no_gpu and yolo_cpp_dll_no_gpu
2017-07-25 02:40:23 +03:00
gemm.h
go updates
2016-03-16 04:30:48 -07:00
getopt.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
getopt.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gettimeofday.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gettimeofday.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
go.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gru_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
gru_layer.h
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
im2col_kernels.cu
updates and things
2016-09-01 16:48:41 -07:00
im2col.c
updates and things
2016-09-01 16:48:41 -07:00
im2col.h
Detection is back, baby\!
2015-02-10 19:41:03 -08:00
image.c
Fixed classifier for AlexNet and Resnet50
2017-09-15 20:31:48 +03:00
image.h
Fixed classifier for AlexNet and Resnet50
2017-09-15 20:31:48 +03:00
layer.c
Memory leak fixed
2017-07-03 14:12:52 +03:00
layer.h
hey
2016-11-15 22:53:58 -08:00
list.c
Slowly refactoring and pushing to GPU
2014-05-02 15:20:34 -07:00
list.h
Parsing, image loading, lots of stuff
2013-11-13 10:50:38 -08:00
local_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
local_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
matrix.c
Go
2016-03-13 23:18:42 -07:00
matrix.h
Go
2016-03-13 23:18:42 -07:00
maxpool_layer_kernels.cu
cpu batch norm works
2016-11-18 21:51:36 -08:00
maxpool_layer.c
cpu batch norm works
2016-11-18 21:51:36 -08:00
maxpool_layer.h
updates and things
2016-09-01 16:48:41 -07:00
network_kernels.cu
hey
2016-11-15 22:53:58 -08:00
network.c
Fixed classifier for AlexNet and Resnet50
2017-09-15 20:31:48 +03:00
network.h
Added support DLL (dynamic link library) - yolo_cpp_dll.dll
2017-03-15 23:39:18 +03:00
nightmare.c
stuff
2016-02-29 13:54:12 -08:00
normalization_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
normalization_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
option_list.c
new font strategy
2016-11-05 14:09:21 -07:00
option_list.h
new font strategy
2016-11-05 14:09:21 -07:00
parser.c
Some fixes
2017-08-11 14:51:39 +03:00
parser.h
Some bug fixes, random stuff
2015-09-01 11:22:03 -07:00
region_layer.c
🔥 ARE YOU NOT ENTERTAINED 🔥
2016-11-26 20:02:46 -08:00
region_layer.h
🔥 ARE YOU NOT ENTERTAINED 🔥
2016-11-26 20:02:46 -08:00
reorg_layer.c
cpu batch norm works
2016-11-18 21:51:36 -08:00
reorg_layer.h
stuff and things
2016-11-07 23:42:19 -08:00
rnn_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
rnn_layer.h
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
rnn_vid.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
rnn.c
better multigpu
2016-09-20 11:34:49 -07:00
route_layer.c
🔥 🔥 yolo v2 🔥 🔥
2016-11-17 12:18:24 -08:00
route_layer.h
hey
2016-11-15 22:53:58 -08:00
shortcut_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
shortcut_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
softmax_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
softmax_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
stb_image_write.h
Fixed STB
2017-08-09 13:34:58 +03:00
stb_image.h
Fixed STB
2017-08-09 13:34:58 +03:00
super.c
better multigpu
2016-09-20 11:34:49 -07:00
swag.c
better multigpu
2016-09-20 11:34:49 -07:00
tag.c
better multigpu
2016-09-20 11:34:49 -07:00
tree.c
hey
2016-11-15 22:53:58 -08:00
tree.h
hey
2016-11-15 22:53:58 -08:00
unistd.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
utils.c
Fixed of using backslash (\) in paths to cfg for training
2017-10-01 18:21:27 +03:00
utils.h
More usage rand_s()
2017-08-18 02:12:44 +03:00
voxel.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
writing.c
better multigpu
2016-09-20 11:34:49 -07:00
yolo_console_dll.cpp
Fixed yolo_console_dll.cpp
2017-10-19 02:30:39 +03:00
yolo_v2_class.cpp
Improved speed of yolo_console_dll.cpp - 40 FPS on 4K using GeForce GTX 960
2017-09-12 17:16:21 +03:00
yolo_v2_class.hpp
Improved speed of yolo_console_dll.cpp - 40 FPS on 4K using GeForce GTX 960
2017-09-12 17:16:21 +03:00
yolo.c
You can specify filename for output video by using -out_filename res.avi
2017-08-23 21:54:24 +03:00